Liu Chang, Young Alexandra, Abi Nanzha, Chen Junyu, Fernandes Gyorfy Matheus, Li Yanping, Sun Sophia, Zhou Jin J, Sun Yan V
Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA.
Million Veteran Program Boston Coordinating Center, VA Boston Healthcare System, Boston, MA, USA.
Epigenomics. 2025 Aug 12:1-16. doi: 10.1080/17501911.2025.2540273.
Cardio-kidney-metabolic (CKM) diseases represent a major public health challenge, accounting for a large proportion of global burden of morbidity and mortality. These conditions share risk factors, including genetic predisposition, environmental exposures, and lifestyle influences, which collectively drive disease development and progression. Epigenetic modifications, particularly DNA methylation (DNAm), serve as key mediators and biomarkers between these risk factors and disease phenotypes by regulating gene expression without altering the DNA sequence. Epigenome-wide association studies have identified DNAm markers associated with CKM diseases and related phenotypes, highlighting both shared pathways and disease-specific epigenetic signatures in inflammation, metabolic dysfunction, and aging-related processes. Longitudinal studies further demonstrate the dynamic nature of DNAm changes over time, offering insights into disease trajectories. Additionally, methylation risk scores integrating multiple epigenetic markers show promise in improving disease prediction and risk stratification beyond traditional clinical factors. To synthesize the current evidence, we conducted a targeted literature search in PubMed for English-language, peer-reviewed articles published between 2014 and the present. Future research leveraging large, well-phenotyped cohorts, advanced statistical methods, and innovative study designs will be critical for uncovering novel biomarkers, refining risk prediction models, and developing targeted epigenetic therapies to mitigate the global burden.
心肾代谢(CKM)疾病是一项重大的公共卫生挑战,在全球发病和死亡负担中占很大比例。这些病症具有共同的风险因素,包括遗传易感性、环境暴露和生活方式影响,这些因素共同推动疾病的发展和进展。表观遗传修饰,特别是DNA甲基化(DNAm),通过在不改变DNA序列的情况下调节基因表达,在这些风险因素和疾病表型之间充当关键介质和生物标志物。全表观基因组关联研究已经确定了与CKM疾病和相关表型相关的DNAm标记,突出了炎症、代谢功能障碍和衰老相关过程中的共同途径和疾病特异性表观遗传特征。纵向研究进一步证明了DNAm变化随时间的动态性质,为疾病轨迹提供了见解。此外,整合多个表观遗传标记的甲基化风险评分有望在超越传统临床因素的基础上改善疾病预测和风险分层。为了综合当前证据,我们在PubMed上进行了有针对性的文献检索,以查找2014年至今发表的英文、同行评审文章。未来利用大型、表型良好的队列、先进的统计方法和创新研究设计的研究对于发现新型生物标志物、完善风险预测模型以及开发针对性的表观遗传疗法以减轻全球负担至关重要。